Department of Mathematics, The University of Utah, 155 Presidents Circle, Salt Lake City, UT, 84112, USA.
Department of Oncological Sciences, Huntsman Cancer Institute, The University of Utah, 2000 Cir of Hope Dr, Salt Lake City, UT, 84112, USA.
Bull Math Biol. 2021 Mar 11;83(4):38. doi: 10.1007/s11538-021-00868-6.
Cells losing the ability to self-regulate in response to damage are a hallmark of cancer. When a cell encounters damage, regulatory pathways estimate the severity of damage and promote repair, cell cycle arrest, or apoptosis. This decision-making process would be remarkable if it were based on the total amount of damage in the cell, but because damage detection pathways vary in the rate and intensity with which they promote pro-apoptotic factors, the cell's real challenge is to reconcile dissimilar signals. Crosstalk between repair pathways, crosstalk between pro-apoptotic signaling kinases, and signals induced by damage by-products complicate the process further. The cell's response to [Formula: see text] and UV radiation neatly illustrates this concept. While these forms of radiation produce lesions associated with two different pro-apoptotic signaling kinases, ATM and ATR, recent experiments show that ATM and ATR react to both forms of radiation. To simulate the pro-apoptotic signal induced by [Formula: see text] and UV radiation, we construct a mathematical model that includes three modes of crosstalk between ATM and ATR signaling pathways: positive feedback between ATM/ATR and repair proteins, ATM and ATR mutual upregulation, and changes in lesion topology induced by replication stress or repair. We calibrate the model to agree with 21 experimental claims about ATM and ATR crosstalk. We alter the model by adding or removing specific processes and then examine the effects of each process on ATM/ATR crosstalk by recording which claims the altered model violates. Not only is this the first mathematical model of ATM/ATR crosstalk, it provides a strong argument for treating pro-apoptotic signaling as a holistic effort rather than attributing it to a single dominant kinase.
细胞失去自我调节能力以应对损伤是癌症的一个标志。当细胞遇到损伤时,调控途径会估计损伤的严重程度,并促进修复、细胞周期停滞或细胞凋亡。如果这个决策过程是基于细胞内的总损伤量,那将是非常显著的,但由于损伤检测途径在促进促凋亡因子的速度和强度上存在差异,细胞真正的挑战是协调不同的信号。修复途径之间的串扰、促凋亡信号激酶之间的串扰以及损伤副产物诱导的信号进一步使这个过程复杂化。细胞对[公式:见文本]和 UV 辐射的反应很好地说明了这一概念。虽然这些形式的辐射产生与两种不同的促凋亡信号激酶 ATM 和 ATR 相关的损伤,但最近的实验表明,ATM 和 ATR 对这两种形式的辐射都有反应。为了模拟[公式:见文本]和 UV 辐射诱导的促凋亡信号,我们构建了一个数学模型,其中包括 ATM 和 ATR 信号通路之间三种串扰模式:ATM/ATR 和修复蛋白之间的正反馈、ATM 和 ATR 的相互上调以及复制应激或修复引起的损伤拓扑结构的变化。我们对模型进行校准,使其与 21 个关于 ATM 和 ATR 串扰的实验结论一致。我们通过添加或去除特定的过程来改变模型,然后通过记录改变后的模型违反的哪些结论来检查每个过程对 ATM/ATR 串扰的影响。这不仅是第一个 ATM/ATR 串扰的数学模型,它还强烈支持将促凋亡信号作为一个整体来处理,而不是将其归因于单个主导激酶。